Olesya Yarema1, Aleksandr Perevedentsev2, Vladimir Ovuka1, Paul Baade1, Sebastian Volk1, Vanessa Wood1, Maksym Yarema1. 1. Materials and Device Engineering Group, Department of Information Technology and Electrical Engineering, ETH Zurich, Gloriastrasse 35, CH-8092 Zurich, Switzerland. 2. Polymer Technology, Department of Materials, ETH Zurich, Vladimir-Prelog-Weg 5, CH-8093 Zurich, Switzerland.
Abstract
Phase-change memory materials refer to a class of materials that can exist in amorphous and crystalline phases with distinctly different electrical or optical properties, as well as exhibit outstanding crystallization kinetics and optimal phase transition temperatures. This paper focuses on the potential of colloids as phase-change memory materials. We report a novel synthesis for amorphous GeTe nanoparticles based on an amide-promoted approach that enables accurate size control of GeTe nanoparticles between 4 and 9 nm, narrow size distributions down to 9-10%, and synthesis upscaling to reach multigram chemical yields per batch. We then quantify the crystallization phase transition for GeTe nanoparticles, employing high-temperature X-ray diffraction, differential scanning calorimetry, and transmission electron microscopy. We show that GeTe nanoparticles crystallize at higher temperatures than the bulk GeTe material and that crystallization temperature increases with decreasing size. We can explain this size-dependence using the entropy of crystallization model and classical nucleation theory. The size-dependences quantified here highlight possible benefits of nanoparticles for phase-change memory applications.
Phase-change memory materials refer to a class of materials that can exist in amorphous and crystalline phases with distinctly different electrical or optical properties, as well as exhibit outstanding crystallization kinetics and optimal phase transition temperatures. This paper focuses on the potential of colloids as phase-change memory materials. We report a novel synthesis for amorphous GeTe nanoparticles based on an amide-promoted approach that enables accurate size control of GeTe nanoparticles between 4 and 9 nm, narrow size distributions down to 9-10%, and synthesis upscaling to reach multigram chemical yields per batch. We then quantify the crystallization phase transition for GeTe nanoparticles, employing high-temperature X-ray diffraction, differential scanning calorimetry, and transmission electron microscopy. We show that GeTe nanoparticles crystallize at higher temperatures than the bulk GeTe material and that crystallization temperature increases with decreasing size. We can explain this size-dependence using the entropy of crystallization model and classical nucleation theory. The size-dependences quantified here highlight possible benefits of nanoparticles for phase-change memory applications.
Phase-change memory
is a transistor-free data storage technology
that leverages crystallization and melting phase transitions, using
the resistivity contrast between the amorphous and crystalline phases
of the material as the digital 0 and 1.[1,2] A miniaturization
of phase-change memory chips will ultimately bring the size of memory
cells to sub-10 nm regime, where the phase transition temperatures
become a function of size.[3] Colloidal nanoparticles
are a convenient material system to study size-dependent phase transitions[4,5] due to their fast synthesis, providing monodisperse template-free
nanoparticles of a specific size.[6] Furthermore,
colloidal nanoparticles may themselves be used as the building blocks
for future phase change memory cells.This paper focuses on
Germanium(II) telluride, GeTe, a prototype
phase-change material, which is well studied in bulk and thin films.
GeTe offers distinct crystallization and melting temperatures (Tcryst,bulk = 170 °C; Tmelt,bulk = 725 °C),[3,7] pronounced
resistivity contrast between amorphous and crystalline phases (Ramorph/Rcryst >
1000),[8] and suitable crystallization kinetics
(i.e., fast at high temperatures and slow at room temperature, k350 °C ≈ 1 m/s, k30 °C ≪ 1 nm/year).[9] GeTe and its ternary alloys are also of interest for other
applications, such as ferroelectric and multiferroic, thermoelectric,
and infrared semiconductor applications.[10,11]Synthesis of colloidal GeTe nanoparticles is not well developed.
Depending on the reaction conditions, GeTe nanoparticles can exhibit
either an amorphous or crystalline structure upon synthesis. Amorphous
GeTe nanoparticles were reported by Caldwell et al. (sizes from 1.8
to 3.4 nm in diameter)[12] and by Arachchige
et al. (sizes ≥8.7 nm in diameter).[13] Crystalline GeTe nanoparticles are generally larger in size, and
have been reported as 8 and 17 nm dots,[14] 100 nm octahedrons, or 350 nm cubes.[15,16] Since we aim
to study the effect of nanoparticle size on the crystallization phase
transition, here we wish to obtain amorphous GeTe nanoparticles.Crystallization temperature of GeTe nanoparticles is known to deviate
from the bulk value of 170 °C, however, the size dependent crystallization
behavior of colloidal nanoparticles has never been quantitatively
explained. Caldwell et al.[12] and Arachchige
et al.[13] observed a general trend—crystallization
temperature gradually increases for smaller GeTe nanoparticles, reaching
up to 400 °C for 1.8 nm GeTe clusters. Part of the challenge
in explaining the size-dependence of the crystallization temperature
comes from the fact that it is opposite to the trend in melting point,
which decreases with decreasing nanoparticle size and which is explained
by a higher energy per atom due to the increasing number of surface
atoms as nanoparticle size decreases.[17,18] Furthermore,
coalescence of nanoparticles occurs near the crystallization temperatures,
and most experimentation methodologies do not separate crystallization
and coalescence phenomena.[12,13]In this paper,
we report a new one-step synthesis of amorphous
GeTe nanoparticles with accurate size control between 4 and 9 nm,
which closes the size gap between previous reports.[12,13] We then use these nanoparticles to perform the first quantitative
study of the size-dependent crystallization of template-free GeTe
nanoparticles. To separate coalescence and crystallization, we use
several complementary methods, such as constant heating ramp
X-ray diffraction, differential scanning calorimetry, and ex-situ
heating transmission electron microscopy. We then explain the experimentally
observed size-dependence of GeTe crystallization with thermodynamic
model and classical nucleation theory. Finally, with our results,
we calculate the temperature window, reduced crystallization temperature,
and the power consumption to evaluate how size effects can be used
to tune the properties and performance of phase-change memory devices.
Experimental Section
Materials
GeI2 (99.99%) and Na2Te (99.9%) were purchased from
ABCR, tri-n-octylphosphine
(TOP, 97%), Te (broken ingots, 99.999%), and K2S (95%)
from STREM, oleic acid (90%), chloroform (99%), ethanol (99.8%), n-butylamine (99.5%), N,N-dimethylformamide (DMF, 99.8%), hexane (95%), toluene (99.8%), and
LiI (99.9%) from Sigma-Aldrich, LiN(SiMe3)2 (95%)
from Acros Organics. Oleic acid was dried at 100 °C for 1 h from
water residues and all other chemicals were of anhydrous grade and
were used as-received.
Synthesis of GeTe Nanoparticles
In a typical synthesis
of 7 nm GeTe nanoparticles, anhydrous GeI2 (107 mg, 0.33
mmol) was dissolved in tri-n-octylphosphine (TOP,
7.5 mL) in the glovebox and transferred to the prepumped reaction
flask, connected to standard vacuum manifold. This mixture was additionally
purified under vacuum at 100 °C for 30 min, after which it was
filled with N2 and heated up to injection temperature of
280 °C. Meanwhile, an injection mixture was prepared by mixing
two TOP-based stock solutions—0.8 mL of 1 M TOP:Te (0.8 mmol
of Te, in total) and 0.5 mL of 1.6 M LiN(SiMe3)2 (0.8 mmol of amide, in total)—and swiftly added to the reaction
mixture as soon as its temperature reached injection set value. After
injection, the temperature of the reaction mixture drops by about
20 °C and was kept as such for another 1–2 min. The solution
changes its color to deep brown during this time and reaction was
terminated by rapidly cooling the flask with pressurized air and,
later, with cold water bath. Once cooled to room temperature, the
crude solution of GeTe nanoparticles was transferred air-free to the
glovebox, where anhydrous chloroform (10 mL) and dried oleic acid
(1 mL) were added to it. The mixture was shaken rigorously and set
aside for 5–10 min, allowing for the completion of oleate shell
formation. The oleate-covered GeTe nanoparticles were precipitated
with anhydrous ethanol (30 mL) and separated by centrifugation at
6000 g for 5 min. The obtained pellet of GeTe nanoparticles was dispersed
in anhydrous chloroform, forming a long-term stable colloidal solution.The size of GeTe nanoparticles can be controlled by the amount
of amide salt and by the injection temperature, whereas the selection
of growth time between 0.5 and 5 min has a relatively minor effect.
The 50× upscaled synthesis of GeTe nanoparticles follows the
same procedures as explained above, while using underpressure-governed
hot-injection technique for fast addition of injection mixture.[19]
Ligand Exchange Process or GeTe Nanoparticles
In analogy to previously published protocols, several inorganic
salts
(LiI, GeI2, K2S, or Na2Te) were used
to remove initial organic ligands (oleic acid) from the surface of
the GeTe nanoparticles.[20,21] In a typical ligand-exchange
process using GeI2, a starting solution of GeTe nanoparticles
(1 mL, approximately 6 mg/mL), was precipitated with ethanol (3 mL),
centrifuged at 9000 g for 3 min, and dispersed in toluene (200
μL). This solution was mixed with GeI2/DMF solution
(3 mL, 20 mg/mL), and 15 mL of hexane, forming a 2-phase solvent system.
The solvent mixture was rigorously shaken for few minutes, during
which GeTe nanoparticles transfer to DMF phase. The hexane phase was
then decanted and the GeTe/DMF solution was purified 4 more times
with hexane to ensure complete removal of oleic acid. In addition,
after the second washing step, 3 mL of DMF was added, to ensure that
nanoparticles do not cluster. Afterward, GeI2-covered GeTe
nanoparticles were precipitated with chloroform (1:3 v:v), centrifuged
at 9000 g for 3 min, and redissolved in n-butylamine
(0.2 mL).
High-temperature X-ray diffraction (XRD)
GeTe nanoparticles
were precipitated with ethanol and centrifuged. GeTe pellets were
mixed with a heat-stable polymer to spatially separate GeTe nanoparticles,
and loaded onto an inconel holder. High-temperature XRD was performed
on Rigaku SmartLab 9 kW System, equipped with rotating Cu anode and
2D solid state detector (HyPix-3000 SL). High-temperature stage (Anton
Paar) consists of a ceramic plate, which is shielded with a carbon
dome. The high-temperature XRD measurements were performed under constant
heating ramp and with the temperature precision of ±1 °C.
All nanoparticle handling and measurements were carried out under
N2 atmosphere.
Differential Scanning Calorimetry (DSC)
Thermal analysis
by DSC was carried out using a Mettler Toledo DSC822e instrument calibrated
against indium standards. All measurements were performed under N2 blanket. Freshly prepared GeTe nanoparticle dispersions in
chloroform were added into aluminum crucibles and immediately heated
to 90 °C for 5 min to evaporate the residual solvent, following
which the samples were thermally cycled in the −40 to 350 °C
range at different heating rates.
Electron Microscopy
Energy dispersive X-ray (EDX) spectroscopy
was performed on an FEI Quanta 200 SEM microscope (30 kV). Transmission
electron microscopy (TEM) images were taken by an FEI Tecnai F30 transmission
electron microscope (300 kV). Ex situ heating TEM analysis was carried
out on a series of TEM grids, each heated to a specific temperature
for 1 min under N2 atm.
Fourier-Transform Infrared
(FTIR) Spectroscopy
GeTe
nanoparticles were drop-cast on ZnSe transparent windows and measurements
were performed on a Bruker V70 system with an InGaAs detector.
Electrical
Characterization
GeI2-covered
GeTe nanoparticles in n-butylamine were filtered
through 0.2 μm PTFE filter and spin-coated on interdigitated
Au electrode structures. Each interdigitated electrode pair consists
of 10 electrode fingers, approximately 2.1 mm long, 57 μm wide,
and spaced 36 μm apart. Electrode characterization was done
using a Keithley 2400 SMU, with voltage double sweeps spanning from
−1 to 1 V in 81 steps, with 100 mA current compliance. Electrical
characterization of GeTe nanoparticle thin films was done in an inert
atmosphere (N2-filled glovebox).
Results
Synthesis
To prepare monodisperse GeTe nanoparticles,
we employ an amide-promoted synthetic approach, which was previously
applied to binary and ternary chalcogenide nanocrystals.[22−24] An amide salt, injected to the reaction mixture along with the chalcogen
precursor, increases the nucleation rate and thus yields smaller sizes
of nanoparticles, if compared to analogous reaction conditions without
an addition of amide promoter (Figure a). This method is especially useful for telluride
nanoparticles because it can effectively separate nucleation and growth
of nanoparticles, which is challenging when highly reactive tellurium
precursors are employed.[25] Importantly,
the amount of amide can be used as a handle for size control—an
increase of amide concentration leads to higher nucleation rates and
hence smaller sizes of nanoparticles.[22−24]
Figure 1
(a) Schematic illustration
of amide-promoted synthesis and direct
precursor reaction for GeTe nanoparticles. (b) Size control is achieved
by tuning the amount of amide salt, LiN(SiMe3)2. (c) TEM images show this size dependence.
(a) Schematic illustration
of amide-promoted synthesis and direct
precursor reaction for GeTe nanoparticles. (b) Size control is achieved
by tuning the amount of amide salt, LiN(SiMe3)2. (c) TEM images show this size dependence.By tuning the amount of coinjected amide salt, we achieve
GeTe
nanoparticles sizes between 4 and 8 nm (Figure b). In accordance with previous reports,
the amide concentration has to be higher than that of the initial
iodide anions, enabling full conversion to the germanium-amide intermediate
followed by its fast reaction with the chalcogen (tellurium) precursor.[24,25] Small amounts of LiN(SiMe3)2 result in slower
nucleation on fewer nucleation centers, leaving sufficient amounts
of starting precursors for direct reaction and yielding broadly dispersed
large-size GeTe nanoparticles. Figure c illustrates these findings, showing a series of TEM
images of GeTe products, prepared with different amounts of LiN(SiMe3)2 and otherwise identical reaction conditions.
In particular, amide-promoted synthesis yields monodisperse GeTe nanoparticles
with size distributions as narrow as 9% (Figure S1 of the Supporting Information, SI). Additional size tunability can
be attained by regulating the injection temperature. The temperature
dependence follows classical kinetics–lower injection (and
growth) temperatures result in slower growth and thus smaller GeTe
nanoparticles (Figure S2). Changing the
growth time has only a minor effect on the size and size distribution
of GeTe nanoparticles (Figure S3), which
suggests fast completion of the reaction and high chemical yields
of the process. The synthesis of GeTe nanoparticles is described in
the Experimental Section in more detail.As-synthesized small GeTe nanoparticles exhibit an amorphous (glass-like)
structure, which is indicated by absence of diffraction contrast on
TEM images (Figures S2 and S3) and, as
shown later, by X-ray diffraction spectra and high-resolution TEM
images. From EDX we find that GeTe nanoparticles are close to stoichiometric,
with 1:1 Ge:Te atomic ratio, suggesting that the reaction system is
well balanced and prevents oxidation of Ge2+ ions to its
more stable Ge (+4) oxidation state. A typical EDX spectrum of GeTe
nanoparticles is shown in Figure S4.To robustly characterize a material and consider for further applications,
it is important to be able to prepare it in large quantities with
high chemical yield.[26] To address this
challenge, we employed underpressure-governed hot-injection technique
that we previously developed.[19] This method
allows for fast injection from the addition funnel, run by applying
mild vacuum to the reaction flask (TEM analysis and upscaling setup
is shown in Figure ). Using underpressure-governed injection, we successfully upscale
the GeTe recipe by a factor of 50 and achieve 2 g of nanoparticles
per batch, while maintaining the narrow size distribution of GeTe
nanoparticles. For the same precursor ratios, the size of GeTe nanoparticles
is slightly smaller than that obtained by small-scale synthesis (Figure S5). This can be explained by larger temperature
drop after large-scale injection, associated with faster injection
rates and boiling of the reaction mixture under mild vacuum.[19]
Figure 2
(a) TEM image, (b) size distribution, (c) and setup of
large-scale
synthesis of 6 nm GeTe nanoparticles. The total yield of reaction, WGeTe, is about 2 g.
(a) TEM image, (b) size distribution, (c) and setup of
large-scale
synthesis of 6 nm GeTe nanoparticles. The total yield of reaction, WGeTe, is about 2 g.
Measuring Crystallization Temperature
To demonstrate
how we quantify the crystallization temperature, we work with the
6 nm sized GeTe particles produced from the upscaled synthesis. To
estimate the crystallization point, we perform high-temperature X-ray
diffraction measurements (HT-XRD), heating GeTe nanoparticles under
N2 atmosphere at a constant ramp of 7 °C/min (Figure S6). The results of HT-XRD are summarized
in Figure . As-synthesized
GeTe nanoparticles retain their amorphous structure up to temperatures
>200 °C, as seen by the absence of Bragg reflections on XRD
spectra.
Upon further heating, X-ray peaks appear and match the rhombohedral
modification of bulk GeTe well (Figures a and S7).[15] The peak corresponding to the main Bragg reflection
(202) is shown in Figure b, and its intensity is plotted as a function of sample temperature
(Figure c). This curve
has a sigmoidal growth shape with its two plateau regions corresponding
to amorphous and crystalline structures of GeTe nanoparticles (Figure d). The shaded region
in Figure c represents
the temperature range where crystallization of GeTe nanoparticles
occurs. By analyzing the width of the (202) reflection, we find that
crystalline domain size increases up to 25 nm in this region (Figure S8), which indicates that coalescence
(i.e., sintering) of neighboring GeTe nanoparticles also occurs in
the same temperature range as crystallization.
Figure 3
(a) High-temperature
X-ray diffraction map for 6 nm GeTe nanoparticles
heated at a constant rate of 7 °C/min. (b) Zoom-in of panel (a)
showing the (202) Bragg reflection indicative of rhombohedral GeTe.
(c) Intensity of the (202) peak as a function of temperature, extracted
from Gaussian fits of (b). (d) High-resolution transmission electron
microscopy images of GeTe nanoparticles heated to 200 °C and
300 °C for 1 min.
(a) High-temperature
X-ray diffraction map for 6 nm GeTe nanoparticles
heated at a constant rate of 7 °C/min. (b) Zoom-in of panel (a)
showing the (202) Bragg reflection indicative of rhombohedral GeTe.
(c) Intensity of the (202) peak as a function of temperature, extracted
from Gaussian fits of (b). (d) High-resolution transmission electron
microscopy images of GeTe nanoparticles heated to 200 °C and
300 °C for 1 min.To distinguish between coalescence and crystallization and
to gain
a quantify understanding of crystallization, we perform differential
scanning calorimetry (DSC) measurements on 6 nm GeTe nanoparticles,
heated under N2 atmosphere at different rates (Figure a). We observe an
exothermal signal, comprising two closely spaced peaks. Figure b plots these peak positions
(extracted by taking the second derivatives of the thermograms) as
a function of heating rate. On the basis of ex situ heating TEM experiments
(Figure S9), we assign the lower temperature
process to crystallization and the higher temperature to coalescence.
Kissinger analysis can be applied to extract activation energies of
the processes (Figure c). Crystallization has a higher activation energy (3.29 eV) than
coalescence (2.79 eV), which is in agreement with the literature for
Ca–Mg alumosilicates and telluride glasses.[27,28]
Figure 4
(a)
First-heating differential scanning calorimetry thermograms
recorded for 6 nm GeTe nanoparticles at the indicated rates. The main
exotherms (210–270 °C range) show contributions from crystallization
and coalescence with the corresponding peak positions indicated with
solid and open circles, respectively. (b) Peak temperatures for crystallization
and coalescence of GeTe nanoparticles as a function of heating rate.
(c) Kissinger plot for the peak temperatures of crystallization and
coalescence transitions. Activation energies are extracted from the
linear fits in (c).
(a)
First-heating differential scanning calorimetry thermograms
recorded for 6 nm GeTe nanoparticles at the indicated rates. The main
exotherms (210–270 °C range) show contributions from crystallization
and coalescence with the corresponding peak positions indicated with
solid and open circles, respectively. (b) Peak temperatures for crystallization
and coalescence of GeTe nanoparticles as a function of heating rate.
(c) Kissinger plot for the peak temperatures of crystallization and
coalescence transitions. Activation energies are extracted from the
linear fits in (c).We hypothesize that the
slightly higher coalescence temperature
is due to the presence of an organic shell around the nanoparticles.
The shell spaces nanoparticles (by approximately 1 nm, Figures c and 2a), which comprises a physical gap for atomic diffusion and coalescence.
This assumption is supported by the fact that the relative magnitude
(i.e., enthalpy) of crystallization and coalescence peaks in the DSC
thermograms is dependent on the heating rate: faster heating increases
the contribution of the crystallization exotherm because there is
less time for sintering (Figure a).To confirm that the organic shell enables
us to observe isolate
the temperature-dependent crystallization process, we show that we
can instead cause coalescence followed by crystallization by replacing
the steric organic ligands with short inorganic anions (Figure a). Fourier-transform infrared
spectroscopy confirms nearly complete elimination of organic shell
for several different ligand-exchange protocols (Figure b).[20,21] We perform temperature-dependent resistance measurements of GeI2-covered GeTe nanoparticle thin films (Figure c) and observe a pronounced resistance drop
at the bulk crystallization temperature of GeTe of 170 °C.[7] This indicates that coalescence of the film took
place prior to or at the crystallization temperature, and that following
coalescence the GeTe film behaves as a bulk material (Figure c).
Figure 5
(a) Schematic representation
of coalescence and crystallization
of GeTe nanoparticles after removal of protective organic ligands.
(b) Fourier-transform infrared spectra of GeTe nanoparticles before
(starting solution) and after ligand exchange with the indicated inorganic
salts. (c) Resistance of a GeI2-covered GeTe nanoparticle
thin film annealed at different temperatures. Since coalescence happens
before crystallization in these inorganic anion treated materials
(see panel (a)), a resistance drop of >1000 is observed around
the
crystallization point of bulk GeTe.
(a) Schematic representation
of coalescence and crystallization
of GeTe nanoparticles after removal of protective organic ligands.
(b) Fourier-transform infrared spectra of GeTe nanoparticles before
(starting solution) and after ligand exchange with the indicated inorganic
salts. (c) Resistance of a GeI2-covered GeTe nanoparticle
thin film annealed at different temperatures. Since coalescence happens
before crystallization in these inorganic anion treated materials
(see panel (a)), a resistance drop of >1000 is observed around
the
crystallization point of bulk GeTe.
Discussion
Size-Dependent Crystallization Temperature
In the section
above, we explain how we determine the crystallization temperature
of GeTe nanoparticles using high-temperature XRD, DSC, and ex situ
TEM (Figures , 4, and S6–S9).
In particular, we find that the two processes—crystallization
and coalescence of GeTe nanoparticles—happen almost simultaneously.
When heating up the nanoparticles with an organic shell, crystallization
of GeTe nanoparticles occurs before coalescence (Figures S9 and 6a); however, fast coalescence
explains most of the steep growth of XRD reflections (Figure S8). Therefore, crystallization temperature
should be taken as the onset temperature of the intensity growth regime.
This applies to DCS results (extrapolation of peak temperatures for
the lower-temperature exotherms, Figure b) and to the analysis of XRD width (Scherrer
formula, Figure S8).
Figure 6
(a) Schematic representation
of crystallization and coalescence
of GeTe nanoparticles, when covered with organic ligands. (b–d)
High-temperature X-ray diffraction maps and (e) extracted intensity
profiles of (202) Bragg reflection for GeTe nanoparticles with the
indicated average sizes. (f) Size dependence of crystallization temperature
for GeTe nanoparticles extracted from peak intensity profiles in (e)
and fitted with entropy of crystallization model.
(a) Schematic representation
of crystallization and coalescence
of GeTe nanoparticles, when covered with organic ligands. (b–d)
High-temperature X-ray diffraction maps and (e) extracted intensity
profiles of (202) Bragg reflection for GeTe nanoparticles with the
indicated average sizes. (f) Size dependence of crystallization temperature
for GeTe nanoparticles extracted from peak intensity profiles in (e)
and fitted with entropy of crystallization model.We take this approach to quantify the size dependence of
the crystallization
temperature. Figures b–d shows XRD intensity—temperature maps for different
sizes of GeTe nanoparticles, from which we extract intensity profiles
of the main (202) Bragg reflection (Figure e). Taking the onset of each intensity profile,
we find that the crystallization temperature increases with decreasing
the GeTe nanoparticles size (Figure f). While such a trend agrees well with the literature
on colloidal GeTe nanoparticles (Figure S10),[12,13] previous reports did not explain this trend.Here, we fit the size-dependent crystallization of GeTe nanoparticles
with two models. The first model is based on the entropy change during
the phase transition.[29] For a melting process,
the entropy of fusion, ΔSmelt, can
be linked with size-dependent melting temperature,TmeltNP, and
physical dimensions of material (i.e., diameter of nanoparticles, dNP) using the expression:where Tmeltbulk is melting point of bulk
material, and d0 is a critical diameter
of nanoparticle (defined as the size of nanoparticle, for which all
atoms are surface atoms).[29] In analogy,
we write the size dependent crystallization temperature, TcrystNP:where we
have replaced ΔSmelt with entropy
of crystallization, ΔScryst Taking
the bulk crystallization temperature of GeTe
from literature (Tcrystbulk = 443.15 K),[7] we arrive at a simple model with two fitting parameters: entropy
of crystallization, ΔScryst, and
critical diameter, d0. We fit this model
to the size-dependent crystallization of GeTe nanoparticles (Figure f) and determine
important parameters for basic understanding of GeTe crystallization.
Namely, we find the entropy of crystallization for GeTe (ΔScryst = −14.5 J/(mol·K)) that makes
sense: (i) it is negative because ordering increases upon crystallization
and (ii) its absolute value is smaller than entropy of fusion (ΔSmelt = 18.0 J/(mol·K)),[30] which is expected[1] because of
gradual decrease of the disorder parameter for material in its supercooled
(i.e., amorphous) state (Figure S11). Furthermore,
the extracted critical diameter (d0 =
0.384 nm) is consistent with the value expected for GeTe. The volume
of the sphere with a critical diameter of 0.384 nm is just slightly
smaller than the volume of the smallest GeTe cluster, having at least
one nonsurface atom (Figure S12).We can also explain our data with a second model employing classical
nucleation theory, which defines nucleation rate, Jcryst, as the number of nuclei per unit volume.[31] To crystallize a nanoparticle, we need at least
one nucleus per nanoparticle. Therefore, Jcryst can be expressed as follows:where VNP and dNP are volume
and diameter of spherical GeTe
nanoparticle. Alternatively, Jcryst is
related to crystallization temperature, Tcryst, via the Arrhenius-type equation:[31]Combining and , we can relate crystallization
temperature and diameter of GeTe nanoparticles via equation, which
has two fitting parameters: prefactor, J0, and activation energy of nucleation, ΔGcryst*. This model
displays the observed trend for size-dependent crystallization of
GeTe nanoparticles (Figure S11). Smaller
sizes of nanoparticles require a higher specific density of nuclei
and thus exhibit higher crystallization temperatures. More elaborate
nucleation theory models can be built on this basis to account for
heterogeneous nucleation, large nucleation rates (i.e., > 1 nucleus
per particle), and the effects of surface coverage, etc.Presented
models describe a trend for ultrasmall GeTe nanoparticles
(Figure S10),[12] while slightly higher crystallization temperature is observed for
larger GeTe sizes by Arachchige et al. and Chen et al.[13,32] The latter discrepancy can be explained by the nonstoichiometric
effects—when the composition of GeTe deviates from Ge:Te 1:1
ratio, the crystallization temperature increases.[7]
Nanodimensional Effects for Phase Change
Properties
The size-dependence of the phase transitions in
GeTe nanoparticles
smaller than 10 nm highlights the opportunities to design memory devices
at the nanoscale. Figure summarizes the effect of size on phase-change properties
of GeTe nanoparticles. We calculated melting point depression for
GeTe nanoparticles using eq (29) and the critical diameter d0 = 0.384 nm extracted from the size-dependent
crystallization fitting. While crystallization temperature increases
with smaller nanoparticle size, their melting point decreases to lower
temperatures (Figure a). This increase of the crystallization temperature should lead
to improved data retention at room temperature, while the decrease
in melting temperature lowers a power consumption of the memory cell.[2] At the same time, the temperature window (i.e.,
a difference between Tmelt and Tcryst) remains wider than 400 K (Figure b), ensuring the reliability
of memory cell arrays. The size-dependence of these phase transitions
may make it possible for materials such as selenides and quaternary
telluride compositions that cannot be used in thin film phase change
memories due to too low bulk crystallization or too high bulk melting
temperature to be used in nanoparticle form phase-change memory devices.[33,34]
Figure 7
Size
effects on (a) crystallization and melting temperatures, (b)
temperature window, (c) reduced crystallization temperature (i.e.,
temperature ratio), and (d) power consumption upon phase transitions
for GeTe nanoparticles (NPs) in the sub-10 nm size regime.
Size
effects on (a) crystallization and melting temperatures, (b)
temperature window, (c) reduced crystallization temperature (i.e.,
temperature ratio), and (d) power consumption upon phase transitions
for GeTe nanoparticles (NPs) in the sub-10 nm size regime.The reduced crystallization temperature (i.e.,
a ratio between Tcryst and Tmelt),
which indicates the ease of glass formation,[35] increases as the size of GeTe nanoparticles decreases (Figure c). A size-dependence
of reduced crystallization temperature indicates that (i) smaller
GeTe nanoparticles are better glass formers (i.e., they can form glass
structure at moderate or slow cooling rates);[1] and (ii) crystallization kinetics of GeTe nanoparticle may attain
a size dependence.[35] Importantly, GeTe
nanoparticles larger than 5 nm can be classified as marginal glass
formers,[1] combining fast crystallization
kinetics and stability of supercooled state.Finally, decreasing
the size of phase-change materials leads to
improved power efficiency of the device.[36,37] We calculate the power consumption of a hypothetical memory cell,
in which a single GeTe nanoparticle represents a switching phase-change
volume (Figure S13). As expected, a power
efficiency of such a particle-per-bit device improves as the GeTe
size decreases. Even after taking into account the 99% power losses
due to heat dissipation,[36] the power consumption
to crystallize or melt GeTe nanoparticle is on par with energy spent
per synaptic event in living organisms (Figure d).[38] Such a comparison
is provided to emphasize striking opportunities for colloidal phase-change
nanoparticles in ultralow power and high-density phase-change memory
devices.
Conclusions
This work assessed the
potential of colloidal nanoparticles for
phase-change memory technology. Using GeTe nanoparticles as a case
study, we demonstrated reliable synthesis of colloidal phase change
materials and quantified the size-dependence of the crystallization
phase transition for the first time. The amide-promoted liquid-phase
synthesis enabled accurate size control and large quantity production
of GeTe nanoparticles, and it can be extended to other binary and
ternary phase change materials. By taking a multipronged approached,
we successfully isolated coalescence and crystallization of nanoparticles
to quantify the temperature dependence of the crystallization phase
transition. We showed that increase in crystallization temperature
with decreasing nanoparticle size can be explained using the thermodynamic
model or classical nucleation theory. The size-dependent crystallization
and melting temperatures in the sub-10 nm size regime offer improved
data retention, ultralow power consumption, and fast kinetics of crystallization
(i.e., fast write times), highlighting the prospects of nanoparticle
phase change materials for memory technology.
Authors: Maksym Yarema; Stefan Pichler; Mykhailo Sytnyk; Robert Seyrkammer; Rainer T Lechner; Gerhard Fritz-Popovski; Dorota Jarzab; Krisztina Szendrei; Roland Resel; Oleksandra Korovyanko; Maria Antonietta Loi; Oskar Paris; Günter Hesser; Wolfgang Heiss Journal: ACS Nano Date: 2011-04-22 Impact factor: 15.881
Authors: Qianglu Lin; Hyeong Jin Yun; Wenyong Liu; Hyung-Jun Song; Nikolay S Makarov; Oleksandr Isaienko; Tom Nakotte; Gen Chen; Hongmei Luo; Victor I Klimov; Jeffrey M Pietryga Journal: J Am Chem Soc Date: 2017-05-05 Impact factor: 15.419